Shupeng Zheng
Papers
1
Total Citations
6
H-Index
1
About
Shupeng Zheng is a leading researcher in advanced control systems for robotic manipulation, with a particular focus on enhancing precision and disturbance rejection in surgical robotics. His most impactful work, "Adaptive Super-Twisting-Like Sliding Mode Control with Prescribed Performance for Robot Manipulators" (2019, 6 citations), addresses a critical challenge in minimally invasive surgery: minimizing involuntary hand tremors while maintaining high-accuracy manipulator control. Zheng’s major contribution lies in developing a novel adaptive sliding mode control framework that combines super-twisting algorithm characteristics with prescribed performance constraints, enabling robots to achieve both rapid convergence and robust tracking under uncertainties. This approach is especially vital for surgical robots, which demand exceptional precision and strong anti-disturbance capabilities beyond those of conventional industrial manipulators. By integrating adaptive mechanisms, his method eliminates the need for prior knowledge of disturbance bounds, making it highly practical for real-world clinical applications. Zheng’s work bridges theoretical control design and practical surgical robotics, offering a pathway to safer, more reliable autonomous assistance in operating rooms. His research continues to influence the development of high-performance robotic systems for delicate medical procedures.
Research Focus
Key Achievements
Top Papers
- 1